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A New Research Model for Artificial Intelligence–Based Well-Being Chatbot Engagement
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Resumo(s)
Background: Artificial intelligence (AI)–based chatbots have emerged as potential tools to assist individuals in reducing anxiety and supporting well-being. Objective: This study aimed to identify the factors that impact individuals’ intention to engage and their engagement behavior with AI-based well-being chatbots by using a novel research model to enhance service levels, thereby improving user experience and mental health intervention effectiveness. Methods: We conducted a web-based questionnaire survey of adult users of well-being chatbots in China via social media. Our survey collected demographic data, as well as a range of measures to assess relevant theoretical factors. Finally, 256 valid responses were obtained. The newly applied model was validated through the partial least squares structural equation modeling approach. Results: The model explained 62.8% (R2) of the variance in intention to engage and 74% (R2) of the variance in engagement behavior. Affect (β=.201; P=.002), social factors (β=.184; P=.007), and compatibility (β=.149; P=.03) were statistically significant for the intention to engage. Habit (β=.154; P=.01), trust (β=.253; P<.001), and intention to engage (β=.464; P<.001) were statistically significant for engagement behavior. Conclusions: The new extended model provides a theoretical basis for studying users’ AI-based chatbot engagement behavior. This study highlights practical points for developers of AI-based well-being chatbots. It also highlights the importance of AI-based well-being chatbots to create an emotional connection with the users.
Descrição
Yang, Y., Tavares, J., & Oliveira, T. (2024). A New Research Model for Artificial Intelligence–Based Well-Being Chatbot Engagement: Survey Study. JMIR human factors, 11, 1-21. Article e59908. https://doi.org/10.2196/59908 --- This work was supported by national funds through Fundação para a Ciência e a Tecnologia, under the project UIDB/04152/2020, Centro de Investigação em Gestão de Informação (MagIC Information Management Research Center/NOVA Information Management School).
Palavras-chave
artificial intelligence–based chatbot AI-based chatbot mental well-being intention to engage engagement behavior theoretical models mobile phone Human Factors and Ergonomics Health Informatics SDG 3 - Good Health and Well-being